Job Description

Core Responsibilities

• Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.
• Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.
• Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.
• Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.
• Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions.
• Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.

Qualifications Required

• Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field.
• Demonstrated strength in at least one of the following areas:
  • Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains.
  • Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks.
• Strong programming skills in Python and SQL, along with a solid foundation in statistics, machine learning, and experimental design.
• Strong communication skills with the ability to translate complex analytical findings into actionable business recommendations.

Preferred

• Experience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making.
• Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities.
• Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation.
• Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field.

Special Factors

• Sponsorship
  • Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission---we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.

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